The Types of Financial Data You Can Access Through Intrinio’s APIs

By Intrinio
April 29, 2025

If you're building in fintech, investing, trading, or financial services, the quality and variety of your financial data can make or break your success.


That’s why Intrinio offers a wide range of financial data APIs — designed to be affordable, scalable, and easy to integrate for businesses of all sizes.

Here’s a look at the core types of financial data you can access through Intrinio, and how they can power your applications, analytics, and platforms.

1. Fundamentals

Intrinio’s US Fundamentals data feed offers over 15 years of standardized and as-reported financial statement data for publicly traded US companies.
But fundamentals through Intrinio go far beyond just the balance sheet.

Key offerings include:

  • Income Statements, Balance Sheets, and Cash Flow Statements (standardized and as-reported formats)

  • Financial Ratios and KPIs for performance benchmarking

  • Historical and real-time updates on filings and reports

  • US Press Releases containing material corporate updates, earnings announcements, and critical disclosures

  • NewsEdge Realtime News Feed, providing curated real-time news relevant to US public companies and economic developments

The addition of press releases and curated news enables platforms to not only display financial metrics but also contextualize them with real-time information, creating a more complete user experience for investors, analysts, and institutions.

Use cases:
Investor research platforms, financial modeling apps, earnings trackers, corporate analysis tools, wealth management systems.

2. Stock Prices

Intrinio offers multiple stock price datasets, providing flexibility across real-time, delayed, tick-level, and historical needs:

  • IEX Real-Time Stock Prices: Real-time equities pricing sourced from IEX, known for low-cost and high-availability access.

  • EOD Historical Stock Prices: Over 50 years of high-quality, dividend- and split-adjusted stock price history.

  • Stock Price Tick History: Tick-level historical market data for deep backtesting, high-frequency trading simulations, and advanced analytics.

  • 15-Min Delayed SIP: Full-market volume data delayed by 15 minutes — ideal for cost-efficient market display applications.

  • Nasdaq Basic: Real-time prices for all US exchange-listed stocks at a fraction of traditional SIP fees.

  • Global Real-Time Indices: Live streaming index levels from major global exchanges.

Use cases:
Trading platforms, real-time dashboards, stock screeners, algorithmic trading research, portfolio management tools.

3. Options

Intrinio’s options data suite offers full access to the real-time, delayed, and historical options market for US listed securities.

Key products include:

With millions of active options contracts on the market at any given time, Intrinio’s options APIs provide the scale, speed, and reliability needed for serious traders and platforms.

Use cases:
Options trading apps, brokerage platforms, risk modeling software, educational investing platforms.

4. Estimates

Intrinio’s estimates data helps businesses tap into forward-looking market sentiment and consensus expectations.

Included in the Estimates feed:

Combining historical actuals with forward estimates creates an invaluable dataset for building predictive models, recommendation engines, and sophisticated investment tools.

Use cases:
Earnings prediction models, analyst comparison dashboards, quant investing platforms, investment research tools.

5. ETFs

Intrinio’s ETF datasets provide rich insights into the holdings, structure, and performance of Exchange Traded Funds.

Core ETF products include:

  • ETF Holdings: A full breakdown of all constituent securities inside US-traded ETFs.

  • ETF Analytics: Comprehensive analytics that help compare funds on factors like risk, volatility, sector exposure, and fees.

  • ETF Metadata: Over 118 attributes describing ETF characteristics, including issuer, inception date, NAV, expense ratios, and more.

Given the explosion in passive investing, ETF intelligence is a must-have for fintechs offering asset allocation tools or advisors building diversified client portfolios.

Use cases:
ETF screeners, robo-advisors, model portfolio builders, retirement planning apps.

6. Other Financial Data Sets

In addition to core equities and options datasets, Intrinio offers a growing library of specialty datasets for broader market coverage:

  • Corporate Events: Database of dividends, splits, mergers, earnings dates, and other impactful corporate actions.

  • US End-of-Day Index Levels: Track closing levels for major US indices like the S&P 500, Nasdaq, and Dow Jones.

  • Index Constituents: Access full listings of companies included in indices like the S&P 500 and Russell 2000.

  • ESG Ratings: Key environmental, social, and governance scores for sustainable investing analysis.

  • Mutual Fund Data: NAVs, holdings, and structural metadata for US open-end and closed-end mutual funds.

These additional datasets help Intrinio customers build broader, deeper applications and future-proof their data strategies.

Use cases:

Event-driven trading platforms, ESG-focused investing apps, mutual fund screeners, market commentary platforms.

Why Developers Love Intrinio’s Financial Data APIs

Intrinio’s APIs are designed to be simple, flexible, and reliable — empowering developers to focus on innovation instead of fighting clunky integrations.

Developer-first features include:

Whether you're a solo developer or an enterprise engineering team, Intrinio makes integrating financial data painless.

Affordable, Scalable, and Ready for Growth

Intrinio is built to support companies across every stage of growth:

  • Starting from $750 per quarter for select datasets

  • Scaling up to $60,000 per year for multi-product institutional solutions

  • No hidden fees, transparent contracts, streamlined licensing

And with free two-week trials, you can start validating your project with real data today — no long sales cycle required.

Intrinio’s affordability, flexibility, and enterprise-ready quality make it a perfect fit for startups, scaling fintechs, and established institutions alike.

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